Yubo Wang (王钰博)

University of Waterloo; Vector Institute;

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I’m a CS Ph.D. student at TIGER-Lab in University of Waterloo, advised by Prof. Wenhu Chen. Previously, I obtained my Master’s degree in Computer Science from UC Davis. I received my Bachelor’s degree in Computer Science from Chu Kochen Honors College, Zhejiang University. From 2021 to 2023, I worked as a full-time NLP Algorithm Engineer at Tencent.

My research focuses on General Artificial Intelligence and its applications. I am particularly interested in understanding the behavior of LLMs, multimodal reasoning, and their evaluation.

News

Jul 08, 2025 🎉 Critique Fine-Tuning and ScholarCopilot are accepted to COLM 2025
Apr 13, 2025 I arrived at the University of Waterloo and started my Ph.D. journey!
Sep 27, 2024 🎉 MMLU-Pro is accepted to Neurips 2024

Selected Publications

  1. Arxiv
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    Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
    Yubo Wang, Ping Nie, Kai Zou, and 2 more authors
    Jun 2025
  2. COLM 2025
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    ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
    Yubo Wang, Xueguang Ma, Ping Nie, and 7 more authors
    Apr 2025
  3. COLM 2025
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    Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
    Yubo Wang, Xiang Yue, and Wenhu Chen
    Jan 2025
  4. Neurips 2024
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    MMLU-Pro: A More Robust and Challenging Multi-task Language Understanding Benchmark
    Yubo Wang, Xueguang Ma, Ge Zhang, and 8 more authors
    Jun 2024